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SPiCE: a web-based tool for sequence-based protein classification and exploration

BACKGROUND: Amino acid sequences and features extracted from such sequences have been used to predict many protein properties, such as subcellular localization or solubility, using classifier algorithms. Although software tools are available for both feature extraction and classifier construction, t...

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Detalles Bibliográficos
Autores principales: van den Berg, Bastiaan A, Reinders, Marcel JT, Roubos, Johannes A, Ridder, Dick de
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4021553/
https://www.ncbi.nlm.nih.gov/pubmed/24685258
http://dx.doi.org/10.1186/1471-2105-15-93
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author van den Berg, Bastiaan A
Reinders, Marcel JT
Roubos, Johannes A
Ridder, Dick de
author_facet van den Berg, Bastiaan A
Reinders, Marcel JT
Roubos, Johannes A
Ridder, Dick de
author_sort van den Berg, Bastiaan A
collection PubMed
description BACKGROUND: Amino acid sequences and features extracted from such sequences have been used to predict many protein properties, such as subcellular localization or solubility, using classifier algorithms. Although software tools are available for both feature extraction and classifier construction, their application is not straightforward, requiring users to install various packages and to convert data into different formats. This lack of easily accessible software hampers quick, explorative use of sequence-based classification techniques by biologists. RESULTS: We have developed the web-based software tool SPiCE for exploring sequence-based features of proteins in predefined classes. It offers data upload/download, sequence-based feature calculation, data visualization and protein classifier construction and testing in a single integrated, interactive environment. To illustrate its use, two example datasets are included showing the identification of differences in amino acid composition between proteins yielding low and high production levels in fungi and low and high expression levels in yeast, respectively. CONCLUSIONS: SPiCE is an easy-to-use online tool for extracting and exploring sequence-based features of sets of proteins, allowing non-experts to apply advanced classification techniques. The tool is available at http://helix.ewi.tudelft.nl/spice.
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spelling pubmed-40215532014-05-16 SPiCE: a web-based tool for sequence-based protein classification and exploration van den Berg, Bastiaan A Reinders, Marcel JT Roubos, Johannes A Ridder, Dick de BMC Bioinformatics Software BACKGROUND: Amino acid sequences and features extracted from such sequences have been used to predict many protein properties, such as subcellular localization or solubility, using classifier algorithms. Although software tools are available for both feature extraction and classifier construction, their application is not straightforward, requiring users to install various packages and to convert data into different formats. This lack of easily accessible software hampers quick, explorative use of sequence-based classification techniques by biologists. RESULTS: We have developed the web-based software tool SPiCE for exploring sequence-based features of proteins in predefined classes. It offers data upload/download, sequence-based feature calculation, data visualization and protein classifier construction and testing in a single integrated, interactive environment. To illustrate its use, two example datasets are included showing the identification of differences in amino acid composition between proteins yielding low and high production levels in fungi and low and high expression levels in yeast, respectively. CONCLUSIONS: SPiCE is an easy-to-use online tool for extracting and exploring sequence-based features of sets of proteins, allowing non-experts to apply advanced classification techniques. The tool is available at http://helix.ewi.tudelft.nl/spice. BioMed Central 2014-03-31 /pmc/articles/PMC4021553/ /pubmed/24685258 http://dx.doi.org/10.1186/1471-2105-15-93 Text en Copyright © 2014 van den Berg et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License(http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
van den Berg, Bastiaan A
Reinders, Marcel JT
Roubos, Johannes A
Ridder, Dick de
SPiCE: a web-based tool for sequence-based protein classification and exploration
title SPiCE: a web-based tool for sequence-based protein classification and exploration
title_full SPiCE: a web-based tool for sequence-based protein classification and exploration
title_fullStr SPiCE: a web-based tool for sequence-based protein classification and exploration
title_full_unstemmed SPiCE: a web-based tool for sequence-based protein classification and exploration
title_short SPiCE: a web-based tool for sequence-based protein classification and exploration
title_sort spice: a web-based tool for sequence-based protein classification and exploration
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4021553/
https://www.ncbi.nlm.nih.gov/pubmed/24685258
http://dx.doi.org/10.1186/1471-2105-15-93
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